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A Neuro-Symbolic Framework for Tree Crown Delineation and Tree Species Classification

Neuro-symbolic models combine deep learning and symbolic reasoning to produce better-performing hybrids. Not only do neuro-symbolic models perform better, but they also deal better with data scarcity, enable the direct incorporation of high-level domain knowledge, and are more explainable. However,...

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主要な著者: Ira Harmon, Ben Weinstein, Stephanie Bohlman, Ethan White, Daisy Zhe Wang
フォーマット: Artigo
言語:Inglês
出版事項: MDPI AG 2024-11-01
シリーズ:Remote Sensing
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オンライン・アクセス:https://www.mdpi.com/2072-4292/16/23/4365
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